Zobrazeno 1 - 4
of 4
pro vyhledávání: '"J Tilak eRatnanather"'
Autor:
Michael I Miller, J Tilak eRatnanather, Daniel J. Tward, Timothy eBrown, David S Lee, Michael eKetcha, Kanami eMori, Mei-Chang eWang, Susumu eMori, Marilyn S Albert, Laurent eYounes
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 3 (2015)
This paper examines MRI analysis of neurodegeneration in Alzheimer’s Disease (AD) in a network of structures within the medial temporal lobe using diffeomorphometry methods coupled with high-field atlasing in which the entorhinal cortex is partitio
Externí odkaz:
https://doaj.org/article/02dc80ad75744e32a0d523b398aa1859
Autor:
J Tilak eRatnanather, Shannon eCebron, Elvan eCeyhan, Elizabeth ePostell, Dominic V Pisano, Clare ePoynton, Britni eCrocker, Nancy A. Honeycutt, Pamela B. Mahon, Patrick E Barta
Publikováno v:
Frontiers in Psychiatry, Vol 5 (2014)
Differences in cortical thickness in the lateral temporal lobe, including the planum temporale (PT), have been reported in MRI studies of schizophrenia (SCZ) and bipolar disorder (BPD) patients. Most of these studies have used a single-valued global
Externí odkaz:
https://doaj.org/article/10371115603a49f7a5df4550fbd5146e
Autor:
Elvan eCeyhan, Tom eNishino, Jim eAlexopolous, Richard eTodd, Kelly eBotteron, Michael I Miller, J Tilak eRatnanather
Publikováno v:
Frontiers in Neurology, Vol 4 (2013)
It has been demonstrated that shape differences are manifested in cortical structures due to neuropsychiatric disorders. Such morphometric differences can be measured by labeled cortical distance mapping (LCDM) which characterizes the morphometry of
Externí odkaz:
https://doaj.org/article/86d3c8ff0d044b96bbb932a849e3fb83
Autor:
Can eCeritoglu, Xiaoying eTang, Margaret eChow, Darian eHadjiabadi, Damish eShah, Timothy eBrown, Muhammad H. Burhanullah, Huong eTrinh, John eHsu, Katarina A. Ament, Deana eCrocetti, Susumu eMori, Stewart H Mostofsky, Steven eYantis, Michael I Miller, J Tilak eRatnanather
Publikováno v:
Frontiers in Neuroscience, Vol 7 (2013)
One goal of computational anatomy is to develop tools to accurately segment brain structures in healthy and diseased subjects. In this paper, we examine the performance and complexity of such segmentation in the framework of the large deformation dif
Externí odkaz:
https://doaj.org/article/df6509aafe5f4777b3969ba989a18324